In Mar 22nd’s class we are going to talk a little more on Adaboost, SVM or other related machine learning techniques. Ben will give you an introduction and I will talk more on applying machine learning techniques to build poker bots. The algorithms we are going to talk about are: SVM, CBR and Bayesian network. They can be downloaded at here.

Me and Yan Huang will be leading the class on March 15th on Counterfactual Regret Minimization. Seems to be a technique that many of the better bots have been exploring in recent contests. Reading materials include the Rubin and Watson survey paper, the paper from UAlberta that introduced this technique to poker, and Chapter 4 from this textbook Algorithmic Game Theory

Remember that the preliminary deadline for Project 1 is today. The preferred way to satisfy this is to post your bot on the course site, which twoteams have already done. If you prefer not to release a preliminary bot, or are making progress on a strategy that has not produced a benchmark-beating bot yet, you can also satisfy it by sending me an email.